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An Effective Integrity Verification Scheme for Ensuring Data Integrity in Cloud Computing

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Innovations in Bio-Inspired Computing and Applications (IBICA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 419))

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Abstract

Cloud computing is growing in quality thanks to its ability to supply dynamically ascendible resources provisioned as services no matter user or location device. However, moving knowledge to the cloud means the management of the info is a lot of within the hands of the cloud supplier instead of the info owner. Despite the advantages that the cloud presents, cloud computing technology is moon-faced with a range of legal and technological challenges. Security and privacy are amongst the most important challenges as known. There should be certain type of system to guarantee the integrity of the records. The current Cloud safety model is sited on the interpretation that the client should trust the source. Guaranteeing documents integrity needs a promise of trust among the customer and the supplier. Numerous cryptographic methods have been developed and used to deliver improved safety for the sake of keeping integrity issues. We assume that our file (F) is divided into n shares. Poly1305 could be a cryptographically message authentication code (MAC). It is often wont to verify the info integrity and therefore the legitimacy of a message. Shamir Secret Sharing is used to split client file into n shares and these shares are further encrypted using poly1305. An Effective Integrity Verification Scheme (EIVS) based SSS and Poly-1305 is implemented and compared with SSS-AES. Entropy and Timing analysis of EIVS is done for short, long and larger text files.

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Author information

Authors and Affiliations

  1. CSE Department MMEC, M.M. (Deemed To Be University), Mullana, Ambala, Haryana, India

    Minakshi Kamboj

  2. MMEC, M. M. (Deemed To Be University), Mullana, Ambala, Haryana, India

    Sanjeev Rana

Authors
  1. Minakshi Kamboj
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  2. Sanjeev Rana
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Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Departamento de Engenharia Informática, Instituto Superior de Engenharia do Port, Porto, Portugal

    Ana Maria Madureira

  3. Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Vilnius, Lithuania

    Arturas Kaklauskas

  4. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Niketa Gandhi

  5. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Anu Bajaj

  6. Faculty of Information Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia

    Azah Kamilah Muda

  7. Vilnius University, Kaunas, Lithuania

    Dalia Kriksciuniene

  8. Lisbon University Institute, Lisbon, Portugal

    João Carlos Ferreira

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Kamboj, M., Rana, S. (2022). An Effective Integrity Verification Scheme for Ensuring Data Integrity in Cloud Computing. In: Abraham, A., et al. Innovations in Bio-Inspired Computing and Applications. IBICA 2021. Lecture Notes in Networks and Systems, vol 419. Springer, Cham. https://doi.org/10.1007/978-3-030-96299-9_5

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